Data Analyst

3 days ago


Perth, Australia Fortescue Metals Group Full time

Country/Region: AU- State: WA- City: Perth- Job ID: 1644**About Us**:

- Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives._

**Our Opportunity**:
**Work Location**:Fortescue Centre & Bennett St

Fortescue’s Perth office is located on the traditional lands of the Whadjuk people.

**Roster**:Monday to Friday

**Role overview**

The Data Analyst will play a pivotal role in the Data Analytics for Health and Safety team at Fortescue. This hybrid role combines the responsibilities of a Data Analyst and a Business Analyst, focusing on data analysis, process mapping, and supporting health and safety initiatives. The role requires a deep understanding of data analysis techniques, the ability to translate data into actionable insights, and expertise in optimizing business processes.

**Key Responsibilities**:

- Collect, clean, and analyze data from various sources to derive meaningful insights.
- Collaborate with the team to design data experiments, gather data, and perform hypothesis testing.
- Create data visualizations and reports to communicate findings to stakeholders.
- Write python/SQL code to create objects and automate tasks.
- Conduct process mapping and analysis to identify areas for improvement in health and safety processes.
- Propose and implement process enhancements, automation, and efficiency improvements.
- Collaborate with stakeholders to scope and define data requirements for health and safety analytics.
- Translating requirements into technical workplans.
- Design data and automation pipelines across business systems.
- Document data analysis methodologies, business processes, and improvements made.
- Collaborate with the Visualization Engineer to ensure that data visualizations and dashboards support the analysis and reporting needs.
- Coordinate with the Analytics Engineer to access and prepare data for analysis.

**Qualifications and Experience**:

- Bachelor's degree in Data Science, Business Analytics, Statistics, or a related field.
- Strong understanding of Enterprise Data Platforms or data warehousing concepts. Including ETL processes, integration of systems via APIs and other data feeds.
- Proven experience in data analysis, statistical modeling, and data visualization.
- Strong business analysis skills, including process mapping and improvement.
- SQL experience essential, snowflake desirable.
- Proficiency in data analysis tools and programming languages (e.g., Python, R).
- Experience with data visualization tools (e.g., Power BI).
- Desirable exposure working in DataOps, Agile, Scrum, Continuous Delivery and/or Rapid Application Desirable Desirable understanding of AWS Cloud
- Desirable understanding of Machine Learning.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Ability to work both independently and collaboratively within a team.

**Our Commitment**:


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